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# Pandas DataFrame | idxmax method

schedule Aug 12, 2023
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Pandas `DataFrame.idxmax(~)` method returns the column/row label of the maximum value of each row/column of the source DataFrame. If there are multiple maximums, then the index or label of the first maximum is returned.

# Parameters

1. `axis` | `int` or `string` | `optional`

Whether to return the index of the maximum row-wise or column-wise:

Axis

Description

`"index"` or `0`

Index (row label) of the maximum in each column

`"columns"` or `1`

Column label of the maximum in each row

By default, `axis=0`.

2. `skipna` | `boolean` | `optional`

Whether or not to skip `NaN` values. By default, `skipna=True`.

# Return Value

A `Series` holding the label of the maximum value of each row or column of the source DataFrame.

# Examples

Consider the following DataFrame:

``` df = pd.DataFrame({"A":[3,4],"B":[6,5]}, index=["a","b"])df A Ba 3 6b 4 5 ```

The row label of the maximum value for each column is:

``` df.idxmax() A bB adtype: object ```

The column label of the maximum value for each row is:

``` df.idxmax(axis=1) a Bb Bdtype: object ```
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